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Green computing for sustainability

Jumana Abdullah Kareem et al · KeAi Communications Co., Ltd · 2026

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Wireless network expansion needs intelligent solutions that combine energy-conscious operations with the maintenance of performance levels. This study presents an eco-friendly wireless ad hoc network framework that combines scheduled node deployment with adjustable packet time period control techniques, thus supporting renewable power sources. The model implementation in MATLAB enabled simulation testing, demonstrating performance evaluation against traditional networking protocols through key performance indicators. The experimental results show that energy consumption decreases substantially as node power consumption decreases from 23.43 Joules to 12.77 Joules in the case of 50 nodes, 93.38 Joules to 44.69 Joules for 200 nodes, and 234.08 Joules to 112 Joules for 500 nodes. The measured network performance improved slightly while the system maintained its initial output. Throughput evaluation revealed values between 4.008 Mbps and 4.084 Mbps, and latency stayed within 0.2467 ms to 0.2499 ms and achieved a packet delivery success rate of up to 90.15%. The proposed green model offers a sustainable and energy-efficient solution for wireless communications, ensuring that operation and service quality are maintained.

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APA 7

al, J. A. K. E. (2026). Green computing for sustainability. https://doi.org/10.1016/j.grets.2025.100329

MLA

al, Jumana Abdullah Kareem et. "Green computing for sustainability." 2026. https://doi.org/10.1016/j.grets.2025.100329.

Chicago

al, Jumana Abdullah Kareem et. 2026. "Green computing for sustainability.". https://doi.org/10.1016/j.grets.2025.100329.

Harvard

al, J. A. K. E. 2026, Green computing for sustainability, KeAi Communications Co, Ltd, available at: https://doi.org/10.1016/j.grets.2025.100329 [Accessed 8 Aug. 2026].

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Titolo
Green computing for sustainability
Autore / collaboratori
Jumana Abdullah Kareem et al
Editore
KeAi Communications Co., Ltd
Anno di pubblicazione
2026
ISSN
2949-7361
ISSN
2949-7361
Lingua
Inglés

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